Podcasts about prescriptive analytics

CJ delves deep into the world of analytics in this interview with Jesper Sorensen, the CFO of Mambu, a leading fintech and banking platform in Europe valued at over $5 billion. Jesper, who has authored three books on analytics, introduces the Analytics Escalator—a framework for unlocking real value through descriptive, diagnostic, predictive, and prescriptive analytics. In the discussion, Jesper covers everything from getting started with analytics and deciding where it should sit within an organization to identifying key opportunities, building a solid BI tech stack, and understanding the role of analytics tools and data lakes. He outlines the journey to creating a high-impact analytics function within a company, emphasizing the critical interplay between people, processes, and systems in fostering a thriving analytics culture—and shares practical advice on how to achieve it.—SPONSORS:RightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. Whether it's multi-element arrangements, subscription renewals, or complex usage-based contracts, RightRev takes care of it all. That means fewer spreadsheets, fewer errors, and more time for your team to focus on growth. For modern revenue recognition simplified, visit rightrev.com and schedule a demo.Brex offers the world's smartest corporate card on a full-stack global platform that is everything CFOs need to manage their finances on an elite level. Plus they offer modern banking and treasury as well as intuitive expenses and accounting automation, bill pay, and travel. Brex makes it easy to control spend before it happens, automate annoying tasks, and optimize your finances. Find out how Brex can help you make every dollar count at brex.com/metrics.Planful is a financial performance management platform designed to streamline financial tasks for businesses. It helps with budgeting, closing the books, and financial reporting, all on a cloud-based platform. By improving the efficiency and accuracy of these processes, Planful allows businesses to make better financial decisions. Find out more at www.planful.com/metrics.Vanta's trust management platform takes the manual work out of your security and compliance process and replaces it with continuous automation. Over 9000 businesses use it to automate compliance needs across over 35 frameworks like SOC 2 and ISO 27001. Centralize security workflows, complete questionnaires up to five times faster, and proactively manage vendor risk. For a limited time, get $1,000 off of Vanta at vanta.com/metrics.—FOLLOW US ON X:@cjgustafson222 (CJ)—TIMESTAMPS:(00:00) Preview and Intro(02:01) Sponsor – RightRev | Brex(04:53) Jesper's Pre-CFO Career(06:50) The Huge Success of Mambu(10:40) Understanding What Analytics Is(13:56) Sponsor – Planful | Vanta(16:02) Where Analytics Should Sit in the Org(20:12) Model for Serving a Team's BI Needs Internally(22:03) Creating Value with the Analytics Escalator(29:51) Prescriptive Analytics and How to Achieve Them(31:08) The Steps on the Analytics Escalator(33:36) Establishing People, Processes, and Systems(34:54) Self-Service Versus Customer Service BI(37:57) The Components of a Good BI Tech Stack(38:50) Data Visualization Tools Versus Analytics Tools(41:59) The Value of a Data Lake(44:26) Build-Versus-Buy for Analytics Tools(46:50) The Need for a Proof-of-Concept for Analytics Tools(48:10) Managing the Trade-Off Between Performance and Cost(50:19) Wrap Get full access to Mostly metrics at www.mostlymetrics.com/subscribe

Send us a textIt's well known that hospitals struggle with capacity issues, but could the real culprit be poor optimization?Making matters worse, consistent financial pressure and aging populations are driving demand to an all-time high. In this episode of HealthBiz Briefs, Mohan Giridharadas, Founder and CEO of LeanTaaS, discusses the challenges facing medical providers and how advanced algorithms and AI solutions can streamline efficiency for better results.This episode is brought to you by BetterHelp. Give online therapy a try at https://betterhelp.com/caretalk and get on your way to being your best self.As a BetterHelp affiliate, we may receive compensation from BetterHelp if you purchase products or services through the links provided.

Get insights into career transitions, the importance of networking, and the tools used in data positions in this episode! Avery talks with data experts Steven Stark and Adam Dijans as they explore the fascinating field of operations research.

The computer chip shortage has prompted Dr Geert van Kollenburg and his colleagues at Eindhoven University of Technology, the Netherlands, to find data-driven methods to optimise chip manufacturing processes. As part of the MadeIn4 project, they have developed a predictive discarding framework in which quality predictions from artificial intelligence (AI) algorithms are used to decide on whether to discard an unfinished product. This approach can improve both the profitability and sustainability of manufacturing processes. Read more in Research OutreachRead their original research: https://doi.org/10.1080/09537287.2022.2103471

Anuj Kumar Sen, Co-Founder & CTO, Cuelebre ABSuccess in the implementation of AI and ML depends on having a foundation system that can scale and serve your data. Cuelebre is an end-to-end technology services provider that caters to data analytics needs. The company focuses on building strategies, architecting platforms, and deploying dashboards in the cloud or on-premises. Anuj Kumar Sen, Co-Founder and CTO, Cuelebre, speaks to Robin Amlôt of IBS Intelligence about the challenges involved and how to achieve maximum value for your business. 

In our two previous videos, we discussed what Prescriptive Analytics is, how it works, and what its examples look like. To check them out, [What is Prescriptive Analytics?: Part 1] https://youtu.be/pzvT6Z_b6MA [Examples of Prescriptive Analytics: Part 2] https://youtu.be/NOo8Nc9zG20 Despite being a pivotal advanced analytical approach, Prescriptive Analytics isn't commonly implemented as it requires an assortment of tools and a complex understanding of the method. Companies that do employ Prescriptive Analytics, however, are able to achieve stronger goals by understanding how different actions result in different outcomes. Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ Telegram: https://t.me/cubeware #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware

Prescriptive Analytics is a type of data analytics that recommends a course of action users should take in order to achieve a desired outcome or goal. It comes after the stages of descriptive and predictive analytics. For more info on data analytics, visit our website at www.cubeware.com What is Prescriptive Analytics? [PART 1] What Are Examples of Prescriptive Analytics? [PART 2] Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ Telegram: https://t.me/cubeware #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware

Prescriptive Analytics is a type of data analytics that recommends a course of action users should take in order to achieve a desired outcome or goal. It comes after the stages of descriptive and predictive analytics. For more info on data analytics, visit our website at www.cubeware.com Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh Twitter: https://twitter.com/Cubeware Instagram: https://www.instagram.com/cubeware.gmbh/ Telegram: https://t.me/cubeware #BusinessIntelligence #DataAnalytics #AdvancedDataAnalytics #Cubeware

The bad news: data and systems, no matter how expensive, don't solve problems. The good news: tying together the data from the systems gives you a shot. It takes the right approach and a careful consideration of your company's specific needs and goals. That's where RateLinx comes in. In this episode, Vice President of Strategic Customers Andrew Hooser joins us to detail his own professional trajectory, how RateLinx helps companies unite their data and take action - and why prescriptive analytics are the way of the future. From vendor to shipper to techie, Andrew has seen (and done) it all when it comes to modern logistics, so don't miss his expert take on supply challenges past, present and future. Additional Links & Resources: Learn more about Digital Transformers: https://supplychainnow.com/program/digital-transformers/ (https://supplychainnow.com/program/digital-transformers/) Subscribe to Digital Transformers and all other Supply Chain Now programs: https://supplychainnow.com/subscribe (https://supplychainnow.com/subscribe) Learn more about Ratelinx: https://www.ratelinx.com/ (https://www.ratelinx.com/) Register for the OMNIA Partners Connections Conference: https://bit.ly/3jHlwdv (https://bit.ly/3jHlwdv) WEBINAR- State of the Supply Chain Report – Priorities for Building Resiliency in Your Supply Network: https://bit.ly/2XIRZHf (https://bit.ly/2XIRZHf) Download the 2021 Q2 U.S. Bank Freight Payment Index: https://bit.ly/3f1LO6S (https://bit.ly/3f1LO6S) This episode was hosted by Scott Luton and Kevin L. Jackson. For additional information, please visit our dedicated show page at: https://supplychainnow.com/data-knowledge-prescriptive-analytics-ratelinx-733

The bad news: data and systems, no matter how expensive, don't solve problems. The good news: tying together the data from the systems gives you a shot. It takes the right approach and a careful consideration of your company's specific needs and goals. That's where RateLinx comes in. In this episode, Vice President of Strategic Customers Andrew Hooser joins us to detail his own professional trajectory, how RateLinx helps companies unite their data and take action - and why prescriptive analytics are the way of the future. From vendor to shipper to techie, Andrew has seen (and done) it all when it comes to modern logistics, so don't miss his expert take on supply challenges past, present and future. Additional Links & Resources: Learn more about Digital Transformers: https://supplychainnow.com/program/digital-transformers/ (https://supplychainnow.com/program/digital-transformers/) Subscribe to Digital Transformers and all other Supply Chain Now programs: https://supplychainnow.com/subscribe (https://supplychainnow.com/subscribe) Learn more about Ratelinx: https://www.ratelinx.com/ (https://www.ratelinx.com/) Register for the OMNIA Partners Connections Conference: https://bit.ly/3jHlwdv (https://bit.ly/3jHlwdv) WEBINAR- State of the Supply Chain Report – Priorities for Building Resiliency in Your Supply Network: https://bit.ly/2XIRZHf (https://bit.ly/2XIRZHf) Download the 2021 Q2 U.S. Bank Freight Payment Index: https://bit.ly/3f1LO6S (https://bit.ly/3f1LO6S) This episode was hosted by Scott Luton and Kevin L. Jackson. For additional information, please visit our dedicated show page at: https://supplychainnow.com/data-knowledge-prescriptive-analytics-ratelinx-733

We all want more sales but sometimes is really tough in the e-commerce world when you don't have relationships with big distributors. But what if someone else already does and can help you scale through new platforms like Amazon, Walmart and more? I spoke with the CEO of Kaspien, Kunal Chopra, who has extensive leadership, retail and tech expertise acquired from years at tech giants Microsoft and Amazon - and now as CEO, he continues his passion for helping brands drive online growth. More About Kunal xPublic Company CEO, Growth Diver and Strategist with sustained record of success maximizing topline and operating results (Revenues and EBITDA) and skyrocketing portfolio value. Kunal grew up in Mumbai, India and after finishing his Bachelors in Computer Engineering from The University of Mumbai, came to the United States to do his Masters in Computer Science from Clemson University. Kunal was recruited from there to Microsoft as an individual contributor and from there he grew his career to becoming the Chief Operating Officer (COO) of a private software company (Unikrn) within the span of 9 years. Currently, he serves as the Chief Executive Office (CEO) of Kaspien (NASDAQ:KSPN). During this time Kunal has held leadership positions as General Manager at Microsoft, General Manager at Amazon, and as Director of Product at the world's fastest-growing startup - Groupon. He has consulted with the world's largest hedge fund - Bridgewater Associates, one of the world's largest fixed-income investment advisors - NISA Investment Advisors, one of the world's best educational-focused performance marketing company - All Star. He also holds an MBA from a Top 5 Global Business School - The University of Chicago, Booth School of Business and a Masters in Computer Science from Clemson University. He is also a mentor and an advisor to early-stage technology startups through his association with Techstars - the world's # 1 accelerator. Kunal has also founded/invested in several startups - three of his recent ones include 1. Coursetake - a company that provides curated interview preparation material that is company and position specific 2. Finagic (Stealth) - Uses AI and Prescriptive Analytics to better manage your investment portfolio and 3. Alignya (Stealth) - a platform empowering managers to crush their business goals. Kunal is also the author of several books empowering his readers to build successful businesses and careers. Get more strategies and advice at https://changecreator.com (https://changecreator.com) Enjoying the show? Leave us a review on iTunes! It goes a long way.

Countless loss prevention teams are feeling the pinch of “do more with less” initiatives from corporate. The one-two punch of increasing expectations despite budget cuts presents a monumental challenge. Worse, report-based analytics solutions, while billed as improving productivity, only tie up precious resources as investigators sift through page after page of raw data, trying to find new cases.LP veteran, Scott Pethuyne, LPC, of Zebra Technologies has seen his fair share of “do more with less” mandates during his tenure as an LP professional. Ultimately what helped his budget-strapped team truly accelerate productivity and drive next-level results was a new analytics solution called prescriptive analytics. Prescriptive analytics analyzed data and informed his team in real time:What was happeningWhy it happenedHow much it was costing the retailerWhat to do about itWho should do itIn this podcast, Scott Pethuyne and Molly Pollard discuss how this new, streamlined workflow can help LP teams prioritize their work, ramp up their case-resolution rate, return more money to retailers' bottom line, and ultimately exceed corporate's expectations – without increasing headcount.

In this podcast episode I want to talk about the battle between predictive and prescriptive analytics in healthcare. What are these tools? Does one have a better use case than the other in healthcare? Let's discuss and as always I would love to hear your feedback as well. Sources discussed in the show: Source1 Source2 Source3 Source4 Welcome to the Health Analytic Insights Podcast. This podcast is ALL about creating a community of like-minded individuals who are passionate about the field of health informatics. I hope to share information and advice in topics such as health analytics, digital health, biomedical engineering and data visualization in healthcare and in exchange I would love to hear from you DEAR listener about your experience and interest in this field, you can drop me a line at healthanalyticinsights@gmail.com. Sign up to the newsletter and get your FREE guide to starting your career in health informatics here. DISCLAIMER: The views expressed on this podcast are my own and do not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated. The views expressed by the guests on this show are their own and may or may not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated.

Andrew W. Hannah, MBA – Co-Founder, Chairman of the Board, and Chief Partnership Officer at Othot Inc Adjunct Professor of Analytics and Entrepreneurship and Executive-In-Residence, University of Pittsburgh Joseph M. Katz Graduate School of Business Andy and Team founded Othot– an AI-driven Predictive and Prescriptive Analytics company that helps organizations predict, understand and change the future. Othot deploys a proprietary machine learning process and leverages state of the art data mining and analytics tools to develop and sustain “Explainable AI” programs for institutions of higher education clients. Andy is also a Senior Advisor and Faculty member of the International Institute of Analytics – the leading research and advisory organization in the field of data analytics. Since 2014 Andy has been an Adjunct Professor of Entrepreneurship and Analytics and an Executive-In-Residence at Pitt Business. His primary responsibilities in these roles include developing and delivering curriculum at the intersection of analytics and entrepreneurship, mentoring students that are creating new ventures, fostering an entrepreneurial environment, and developing students into leaders in the development and deployment business analytics strategies and programs. He is also on the advisory board of Pitt's Master of Science in Quantitative Economics degree program - an intensive program that prepares students to inform economic decision making with sophisticated data analysis. Andy has also been on the Katz Board of Visitors since 2010. One of Andy's greatest passions is building teams that win but that also enable the individuals to reach their potential. Leadership, innovation, vision and ethics are the values he instills in his teams and these are the basic ideals of his actions and communications. He has been a keynote/guest speaker for the National Academy of Sciences, University of Pittsburgh CBA Commencement, Bayer Material Science Innovation Day, University of Pittsburgh (Pitt) Startup Weekend, Pitt Big Idea Contest (twice) and many others. The topics of his talks include innovation, new venture creation and growth, and international competitiveness. Andy is a regular guest lecturer at Pitt and CMU (where he was an Adjunct Professor of entrepreneurship in the 2000's). He holds an MBA from the University of Pittsburgh with a concentration in Marketing and Finance and a B.S. in Accounting from Penn State and in 2003 completed the Carnegie Mellon University Entrepreneurial Management Program. Andy began his professional career at Deloitte and since 1996 has been a C-level executive (including twice as founding CEO) for five entrepreneurial ventures. Join Our community of thousands of entrepreneurs at https://entre.link/EntrepreneurShow Follow us on social media @joinentre --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

In this the 55th episode of the Digital Supply Chain podcast, and I spoke with Dr Heather Krieger the Principal Data Scientist at Savi Technology.The last episode of the podcast where I chatted with David Vallejo about analytics proved to be very popular, so I thought a follow-up episode on the topic of prescriptive analytics would be of interest. Heather brought me up-to-speed on what prescriptive analytics are, why anyone would want some, and how to go about getting them :)Despite some connectivity issues, we had fun putting this podcast together, I hope you enjoy listening to it. If you have any comments/suggestions or questions for the podcast - feel free to leave me a voice message over on my SpeakPipe page or just send it to me as a direct message on Twitter/LinkedIn. Audio messages will get played (unless you specifically ask me not to).To learn more about how supply chain leaders improve end-to-end supply chain visibility, download the research study of 1,000 COO's and Chief Supply Chain Officers – “Surviving and Thriving How Supply Chain Leaders minimize risk and maximize opportunities” And if you want to know more about any of SAP's Digital Supply Chain solutions, head on over to www.sap.com/digitalsupplychain and if you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks.And remember, stay healthy, stay safe, stay sane!

Consumer behavior is changing, and retailers need to be sure they have a clear line of sight into how those changes are impacting their business. As they reopen, challenges around satisfying demand, optimizing store operations, and protecting profits are intensified by the lack of a timely and accurate understanding of data behaviors. To appeal to customers in this “new normal,” retailers need a prescriptive approach to data analysis that can provide them with insights that help them adapt to the ever-evolving needs and expectations of modern consumers. In this podcast, Director of Operations Terry Stanley, who is responsible for asset protection, workforce management, and store safety, talks about how Lowes Foods leveraged prescriptive analytics to drive insights that provided a deeper understanding of what was truly happening in their business as the pandemic changed consumer buying behavior.

In this episode of the Smart Community Podcast, I had a great conversation with Frank Burns, President and Co-Founder of Apana, a technology company that is currently applying its IoT and Prescriptive Analytics suites to solve problems with water use inside the built environment. Frank shares his background in waste water management, his passion for eliminating water waste and contamination in the commercial, industrial and institutional sector, and how it sparked his interest in the Smart Cities/Smart Communities space. We discuss the way Apana uses technology and data for Smart Water Management, and why it's so important not only in individual companies but at the city level. Frank shares his thoughts on how this is currently happening in the US, the tug of war between the tech-focused approach and the bottom-up approach to Smart cities and why meaningful measurement is the key to integration and collaboration across sectors and disciplines. We finish our chat talking about water being the emerging trend that we're not talking about enough, and how using IOT measurement and data analysis can be a security system against mechanical failure and human error in the Smart Water space. As always, I hope you enjoy listening to this episode as much as I enjoyed making it.Find the full show notes as: www.mysmart.communityConnect with Frank via the Apana websiteConnect with me via email: hello@mysmart.communityConnect via LinkedIn, Twitter and Facebook @smartcommpod

The CEO of Profitect addresses the right medicine for changing the paradigm of accountability—prescriptive analytics.

In this episode, Paul and Mike introduce the first episode of our "Customer Experience and Data Analytics" series, in which we discuss some of the reasons why organizations are looking to leverage the data that they have to ultimately provide a better experience with more value to their customers. We discuss the three high-level types of analytics that organizations can use to deliver insights, including Descriptive, Predictive, and Prescriptive Analytics. We start off our episode by discussing the value (or maybe lack there of) in measuring customer experience through the use of emojis.

We talk to Gail Shaw about data, in all its shapes and sizes. Gail is a 10 year Microsoft MVP, and has tamed many a database in her career and shares some great insights with us. Chantal, Kenneth & Len talk data with Gail Shaw. From Gail's first 8086 PC, dual majoring in physics & computer science and printed Oracle error codes we join Gail on her journey into the realm SQL Server and how she's conquered it. We get some advice for squeezing a little more performance out of your production database, which might be more obvious than you'd think! Ever wondered about SQL Server on Linux? Gail has some great insights as to why Microsoft might gone down that route. We all take stock of Microsoft's great recent contributions to the open-source, and the efforts to liberate their tools from their operating systems. We venture into the world of big data, cautiously, while clarifying some terms and distinguishing big data from just "a lot of data". Thinking of big data in terms of analytics help focus the discussions and breaks big data up into layers. The consequences of incorrect medical diagnostics even came up! Find and follow Gail online * https://twitter.com/SQLintheWild * http://sqlinthewild.co.za/ We mention some recorded talks by Gail. * https://sqlbits.com/Sessions/Event14/All_about_Indexes * https://www.youtube.com/watch?v=y_bl9dArtmA Here are some resources mentioned in the show: * Intel 8086 - https://en.wikipedia.org/wiki/Intel_8086 * Modula-2 - https://en.wikipedia.org/wiki/Modula-2 * Microsoft Access - https://en.wikipedia.org/wiki/Microsoft_Access * MSSQL Server on Linux in Docker - https://hub.docker.com/r/microsoft/mssql-server-linux/ * 3V's of Big Data - http://whatis.techtarget.com/definition/3Vs * Data lake - https://en.wikipedia.org/wiki/Data_lake * Python - http://python.org * R - https://www.r-project.org/ * The Iris dataset - http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html * PASS Summit - http://www.pass.org/ * Microsoft Cognitive Services - https://azure.microsoft.com/en-us/services/cognitive-services/ * Decision trees - https://en.wikipedia.org/wiki/Decision_tree * Boosted Decision Tree - https://msdn.microsoft.com/en-us/library/azure/dn905801.aspx * Predictive Analytics - https://en.wikipedia.org/wiki/Predictive_analytics * Prescriptive Analytics - https://en.wikipedia.org/wiki/Prescriptive_analytics * Cortana Intelligence - https://www.microsoft.com/en-us/cloud-platform/cortana-intelligence And finally our picks Gail: * Kaggle - https://www.kaggle.com/ * Microsoft Research - https://www.microsoft.com/en-us/research/ Len: * TensorFlow - https://www.tensorflow.org/ Chantal: * Boomerang for Gmail - http://www.boomeranggmail.com/ Kenneth: * Theory of Everything - https://toe.prx.org Thanks for listening! Stay in touch: * Website & newsletter - https://zadevchat.io * Socialize - https://twitter.com/zadevchat & http://facebook.com/ZADevChat/ * Suggestions and feedback - https://github.com/zadevchat/ping * Subscribe and rate in iTunes - http://bit.ly/zadevchat-itunes

In this episode of the SuperDataScience Podcast, I chat with Associate Professor of Reinforcement Learning, Ravindran Balaraman. You will get to listen to an overview of Reinforcement Learning, know about Prescriptive Analytics and some examples of Reinforcement Learning Applications, and you will also discuss how to get started in Reinforcement Learning. If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/79

In the last few months, we've had a string of fantastic interviews with investors and have gained a cross-industry picture of what's important for start-ups and emerging trends in the AI and ML space. This week's interview is no exception. Ann Miura-Ko, co-founder and partner at Floodgate, starts with an explanation of the "self-driving enterprise" concept, her functioning idea about AI investing and the future of software in general. Her high-level insights embody an interesting emphasis on the dynamic of human-machine interactions and relationships cross industries, including the constant workflows and interactions of people using software and bolstering the predictive and prescriptive analytics capabilities of that software. While forward-thinking, Miura-Ko also paints a picture of how these synergistic relationships between humans and machines are happening with companies today.

In this opening podcast hear from Benjamin Baer, Sr. Director of Product Marketing at FICO discuss the format of this podcast series where you will hear from industry experts talk about such technology as Artificial Intelligence, Internet of Things, Predictive and Prescriptive Analytics and much more.  Make sure to subscribe to Decoding Analytics and join us twice a month to get the latest podcast delivered directly to you

Guy Yehiav, CEO of profit amplification software make Profitect, shares with us why prescriptive analytics goes beyond identifying the insight but also provides recommendations for the actions you take next to optimize conversion opportunities.

Graham Tasman, Grant Thornton, presents at the 2016 Business Analytics, co-sponsored by the Center for Business Analytics and Greater Philadelphia Chapter of the Institute of Management Accountants Roundtable.

In an era when unstructured data from video and other formats is becoming increasingly available for examination, the power of analytics to yield important recommendations is growing. In a column published in the current issue of the INFORMS publication Analytics Magazine, Atanu Basu of Ayata provides valuable advice on using prescriptive analytics. In his second Science of Better podcast, hear him provide some essentials tips.